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cs.LG2026
A Scalable Multi-Task Model for Virtual Sensors
Leon Götz, Lars Frederik Peiss, Erik Sauer +4
Virtual sensors replace expensive physical sensors in critical applications through machine learning by predicting target signals from available measurements. Existing virtual sens…
cs.LG2023
Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer, Lars Frederik Peiss, Matthias Althoff
Manually specifying features that capture the diversity in traffic environments is impractical. Consequently, learning-based agents cannot realize their full potential as neural mo…